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, or GPU programming is an asset LanguagesFRENCHLevelGood LanguagesENGLISHLevelGood Research FieldEngineering » Electronic engineering Additional Information Selection process Applications must be sent
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candidates hold a Master’s degree in Informatics, Mathematics, or a related field, and possess strong expertise in linear algebra, GPU architectures, and programming in C++ and Python. This is a 100% TVL E13
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, IEEE IV and RadarConf. For your research, you will have access to extensive computing resources at TU Delft, ranging from personal workstations and shared GPU servers to the Delft AI Cluster and the
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meningsfull jobb blant yrende studentliv og innovative forskningsmiljøer. Du får en arbeidsplass som er tett på de store samfunnsutfordringene – og samtidig nær løsningene på dem. Et arbeid vi gyver løs på med
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shared GPU servers to the Delft AI Cluster and the DelftBlue supercomputer. Your supervisors will be Prof. Dariu Gavrila and Dr. Julian Kooij. Job requirements We are looking for a candidate with: An MSc
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collation, mixed precision, multi-GPU; experiment tracking (W&B or MLflow), configuration management (Hydra), strict seed and artefact reproducibility. Graph machine learning. PyTorch Geometric or DGL
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research software and working with high-performance or GPU computing environments. Experience publishing or contributing to scientific articles or conference papers. Personal qualifications Good
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architectures and embedded platforms (ARM Cortex-M, NPU, FPGA, embedded GPU), e.g., via academic courses and/or project courses Research experience (e.g., through a Master thesis work or research internships) is
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other partners within this project. In case a (moving of fixed) bed is chosen, a coarse-grained CFD-DEM model or an Eulerian model will be developed, possibly making use of correlations from particle
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innovative forskningsmiljøer. Du får en arbeidsplass som er tett på de store samfunnsutfordringene – og samtidig nær løsningene på dem. Et arbeid vi gyver løs på med våre aller beste virkemidler: utdanning og